FAIR principles of health sciences research data management

Introduction: Open data for the validation and generalization of research results as well as the recycling of datasets is a felt need in healthcare. Objective: to describe the FAIR principles for research data management. Method: a search in the Scopus, SciELO, Redalyc and PubMed/MedLine databases...

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Main Authors: Eveline García-Espinosa, Adrián Alejandro Rojas-Concepción, Adrián Alejandro Vitón-Castillo, Carlos Oscar Lepez
Format: Article
Language:Spanish
Published: Universidad de Ciencias Médicas de Guantánamo 2022-12-01
Series:Revista Información Científica
Subjects:
Online Access:https://revinfcientifica.sld.cu/index.php/ric/article/view/3865
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author Eveline García-Espinosa
Adrián Alejandro Rojas-Concepción
Adrián Alejandro Vitón-Castillo
Carlos Oscar Lepez
author_facet Eveline García-Espinosa
Adrián Alejandro Rojas-Concepción
Adrián Alejandro Vitón-Castillo
Carlos Oscar Lepez
author_sort Eveline García-Espinosa
collection DOAJ
description Introduction: Open data for the validation and generalization of research results as well as the recycling of datasets is a felt need in healthcare. Objective: to describe the FAIR principles for research data management. Method: a search in the Scopus, SciELO, Redalyc and PubMed/MedLine databases for gathering information was carried out applying a formula with the combined use of terms and Boolean operators. The terms "Open data", "research data", and "FAIR" were used. Development: Open data mean a breakthrough in information sciences, and even in health field has made progress in the last decade. It is not enough just to produce and share data, they must comply a set of principles for digitalizing, reproducing and recycling. FAIR data seek to achieve findable, accessible, interoperable and reusable datasets, as well as the elimination of cultural, socioeconomic and technical barriers. The FAIR principles application in health sciences allows a better use of resources avoiding the replication of research with negative results, granting the reuse of data and the generalization of results by combining them. Conclusions: the FAIR principles seek to strengthen open science, eliminate barriers, for developing infrastructures, protocols and data policies. The application in health sciences is of great value, as constitute a powerful tool for improving research and care practices.
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spelling doaj.art-6a01d342b7b44b5fb9c715e6a69e948f2023-09-03T10:53:32ZspaUniversidad de Ciencias Médicas de GuantánamoRevista Información Científica1028-99332022-12-011016e3865e38652374FAIR principles of health sciences research data managementEveline García-Espinosa0Adrián Alejandro Rojas-Concepción1Adrián Alejandro Vitón-Castillo2Carlos Oscar Lepez3Universidad de Ciencias Médicas de Pinar del Río. Centro Provincial de Información de Ciencias Médicas, Pinar del RíoUniversidad de Ciencias Médicas de Pinar del Río. Facultad de Ciencias Médicas “Dr. Ernesto Guevara de la Serna”, Pinar del RíoUniversidad de Ciencias Médicas de Pinar del Río. Facultad de Ciencias Médicas "Dr. Ernesto Che Guevara de la Serna", Pinar del RíoUniversidad de Buenos Aires (UBA). Facultad de Medicina, Ciudad Autónoma de Buenos AiresIntroduction: Open data for the validation and generalization of research results as well as the recycling of datasets is a felt need in healthcare. Objective: to describe the FAIR principles for research data management. Method: a search in the Scopus, SciELO, Redalyc and PubMed/MedLine databases for gathering information was carried out applying a formula with the combined use of terms and Boolean operators. The terms "Open data", "research data", and "FAIR" were used. Development: Open data mean a breakthrough in information sciences, and even in health field has made progress in the last decade. It is not enough just to produce and share data, they must comply a set of principles for digitalizing, reproducing and recycling. FAIR data seek to achieve findable, accessible, interoperable and reusable datasets, as well as the elimination of cultural, socioeconomic and technical barriers. The FAIR principles application in health sciences allows a better use of resources avoiding the replication of research with negative results, granting the reuse of data and the generalization of results by combining them. Conclusions: the FAIR principles seek to strengthen open science, eliminate barriers, for developing infrastructures, protocols and data policies. The application in health sciences is of great value, as constitute a powerful tool for improving research and care practices.https://revinfcientifica.sld.cu/index.php/ric/article/view/3865comunicación y divulgación científicagestión de ciencia, tecnología e innovación en saludacceso a la información
spellingShingle Eveline García-Espinosa
Adrián Alejandro Rojas-Concepción
Adrián Alejandro Vitón-Castillo
Carlos Oscar Lepez
FAIR principles of health sciences research data management
Revista Información Científica
comunicación y divulgación científica
gestión de ciencia, tecnología e innovación en salud
acceso a la información
title FAIR principles of health sciences research data management
title_full FAIR principles of health sciences research data management
title_fullStr FAIR principles of health sciences research data management
title_full_unstemmed FAIR principles of health sciences research data management
title_short FAIR principles of health sciences research data management
title_sort fair principles of health sciences research data management
topic comunicación y divulgación científica
gestión de ciencia, tecnología e innovación en salud
acceso a la información
url https://revinfcientifica.sld.cu/index.php/ric/article/view/3865
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